Principal Machine Learning Engineer

🕒 April 24

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $190k - $404k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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GoodRx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

⚕️ Healthcare Insurance

💊 Pharmaceuticals

👥 B2C

💰 $100M Private Equity Round on 2020-09

Healthcare Insurance • Pharmaceuticals • B2C

GoodRx is a company that helps consumers in the United States save money on their prescription medications. They provide a platform that allows users to compare drug prices and find the lowest costs at pharmacies in their area. GoodRx aims to make prescription medications more affordable for individuals by offering discounts and coupons.

📋 Description

• Define and drive machine learning strategy across multiple domains and product areas while actively contributing to implementation • Design, build, and scale production ML systems, pipelines, and services • Establish standards for model architecture, evaluation, deployment, and lifecycle management • Lead development of complex ML solutions, partnering with Data Scientists to bring models into production • Leverage agentic AI to speed up development and deliver features on a consistent cadence • Drive enterprise MLOps strategy, including deployment, monitoring, and model governance • Define and implement scalable feature engineering and data pipeline strategies • Lead cross-functional initiatives to improve ML system performance, reliability, and scalability • Solve highly complex, ambiguous technical problems through hands-on development and technical leadership • Mentor senior engineers and influence technical direction across teams • Evaluate and adopt new tools, technologies, and best practices to advance ML capabilities

🎯 Requirements

• 10+ years of experience building and deploying machine learning systems at scale • Proven track record of leading and delivering large, complex ML initiatives • Strong expertise in ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and distributed systems • Extensive programming experience in Python required, Golang experience preferred • Experience in building data pipelines in cloud environment such as airflow • Experience in developing multi-agent systems and RAG architectures • Experience with cloud platforms (AWS, GCP, Azure) and big data ecosystems • Deep understanding of MLOps and production ML systems • Experience working with AI governance guidelines and compliance requirements in the industry • Strong software engineering and system design skills

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with a company match • Employee Stock Purchase Plan (ESPP) • Unlimited vacation • 13 paid holidays • 72 hours of sick leave • Mental wellness programs • Financial wellness programs • Fertility benefits • Generous parental leave • Pet insurance • Supplemental life insurance for you and your dependents • Company-paid short-term and long-term disability